I noticed that in the paper and also in this repo, you report the results on LRA tasks. I am trying to train your model on LRA with the code given in this repo. For the Pathfinder task, I follow the dataset preparing guidance and I get 3 sets of pickle files, e.g. pathfinder32-curv_baseline, pathfinder32-curv_contour_length_9, and pathfinder32-curv_contour_length_14, each with train/dev/test splits.
I would like to know that which set gives the 70.94 result in table 3.
Thanks for your great work.
I noticed that in the paper and also in this repo, you report the results on LRA tasks. I am trying to train your model on LRA with the code given in this repo. For the Pathfinder task, I follow the dataset preparing guidance and I get 3 sets of pickle files, e.g. pathfinder32-curv_baseline, pathfinder32-curv_contour_length_9, and pathfinder32-curv_contour_length_14, each with train/dev/test splits.
I would like to know that which set gives the 70.94 result in table 3.